Evaluation of social network measurement instruments

Ferligoj, Anuška; Hlebec, Valentina

doi:10.1016/s0378-8733(99)00007-6

Cited by 89 publications

(55 citation statements)

References 16 publications

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“…A persistent problem in social networks research has been that collecting a reliable representation of a social network is challenging [5,6]. Clearly, it is impossible to ask subjects to simply list everyone they know [6].…”

Section: Social Network Elicitationmentioning

confidence: 99%

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Measuring social networks with digital photograph collections

Golder

2008

Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia

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The ease and lack of cost associated with taking digital photographs have allowed people to amass large personal photograph collections. These collections contain valuable information about their owners' social relationships. This paper is a preliminary investigation into how digital photo collections can provide useful data for the study of social networks. Results from an analysis of 23 subjects' photo collections demonstrate the feasibility of this approach. The relationship between perceived closeness and network position, as well as future questions, are also discussed.

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Section: Social Network Elicitationmentioning

confidence: 99%

“…Question prompts, such as "who would you go to, to discuss a personal problem?" allow subjects to generate lists of names [5] through a naturalistic thought process, but may be incomplete and subject to memory failures.…”

Section: Social Network Elicitationmentioning

confidence: 99%

Measuring social networks with digital photograph collections

Golder

2008

Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia

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“…Admittedly, this might have caused some measurement errors. Our measurement of interactions between faculty members, however, used a rating scale, generally found to be more reliable than a simple question of whether or not the respondent interacted with the alter (i.e., the other faculty member) (Ferligoj and Hlebec, 1999). Additionally, we dichotomized the ratings, collapsing neighboring categories.…”

Section: Network Questions Adjacency Matrices and Focal Independent mentioning

confidence: 99%

Social isolation, survey nonresponse, and nonresponse bias: An empirical evaluation using social network data within an organization

Watanabe

Olson

Falci

2017

Social Science Research

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Survey researchers have long hypothesized that social isolation negatively affects the probability of survey participation and biases survey estimates. Previous research, however, has relied on proxy measures of isolation, such as being a marginalized group member within a population. We re-examine the relationship between social isolation and survey participation using direct measures of social isolation derived from social network data; specifically, instrumental research and expressive friendship connections among faculty within academic departments. Using a reconceptualization of social isolation, we find that social network isolation is negatively associated with unit response. Among women (a numerical minority group within the organization), we further find that social group isolation (i.e., lacking instrumental network connections to men, the majority group in the organization) is negatively associated with survey participation. Finally, we show that some survey estimates are systematically biased due to nonparticipation from socially isolated people.

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“…produce more stable networks than techniques that make use of general questions (e.g., "With whom do you discuss important matters?"). Other researchers found that the stability of recall data is higher than that of techniques based on recognition (using a roster) (Ferligoj & Hlebec, 1999;Hammer, 1984;Milardo, 1992;Sudman, 1985Sudman, , 1988. Hlebec and Ferligoj (2001) found that respondents'moods may affect the stability of a network identified through the recognition (roster) approach, whereas moods did not affect recall data.…”

Section: Sociometric Questioningmentioning

confidence: 99%

“…Earlier we stated that recall data are more stable than recognition data. The trade-off is that the size of the identified network is considerably larger when a roster is used (Ferligoj & Hlebec, 1999). In particular, a roster makes it easier to include weak ties, which are generally considered to be of crucial importance for the information diffusion in an organization (Granovetter, 1973).…”

Section: Sociometric Questioningmentioning

confidence: 99%

Auditing Information Structures in Organizations: A Review of Data Collection Techniques for Network Analysis

Zwijze‐Koning

Jong

2005

Organizational Research Methods

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Odiorne (1954) was the first researcher to use this term in the academic literature. He developed and used an audit to measure the accuracy and completeness of information transmitted between a company's management and its engineering staff. What is now considered an obvious audit result was a remarkable finding back then: The engineers felt surprisingly uninformed. Findings like these stress the importance of evaluating the quality of internal communication on a regular basis.

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Evaluation of social network measurement instruments

Cited by 89 publications

References 16 publications

Measuring social networks with digital photograph collections

Measuring social networks with digital photograph collections

Social isolation, survey nonresponse, and nonresponse bias: An empirical evaluation using social network data within an organization

Auditing Information Structures in Organizations: A Review of Data Collection Techniques for Network Analysis

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